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ISC High Performance
Compute Outside the Box
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More Science. Less Money.

GigaIO empowers organizations to leverage standard tools and components to dynamically configure infrastructure according to workload requirements, while driving optimal rates of utilization and efficiency.

Stop by the GigaIO booth (F613) to figure out how to do more science for less money! See demos of:

GigaIO SuperNODE: The World’s First 32 GPU Single-node Supercomputer

Engineered Solutions for Life Sciences, Manufacturing, and Education, Powered By AMD

Artemis Product Line: Switches, Accelerator Pooling Appliances & Network Adapter Cards

Build impossible servers for HPC + AI workflows — from storage to accelerators to memory — at a fraction of cloud TCO, by optimizing the utilization and efficiency of your existing hardware. Run more workloads faster at lower cost through higher utilization of resources and more agile deployment.

Infrastructure Without Compromise

Let your software define your hardware. GigaIO provides workload-defined infrastructure through its universal dynamic memory fabric, which seamlessly composes rack-scale resources and integrates natively into industry-standard tools.

No longer is the server the basic unit of compute. With FabreXâ„¢, multiple racks can be your server. Transform static infrastructure into software-defined hardware where resources communicate over a native PCIe memory fabric, just as they would if they were plugged directly into the server motherboard.

GigaIO Lighthouse User Group Meeting

Our GLUG meeting will be an interactive, no-holds-barred session where you’ll hear from the experts who have been developing and deploying our exciting next generation HPC technology.

Join us May 22 from 09:00 – 13:00

Are You an HPC Guru?

Are you a supercomputing guru, master, or intern? Test your knowledge on our educational 9-question quiz to see how you stack up, and be entered into a drawing for one of three prizes.

Win a 100 Euro Amazon Gift Card!

Stop By Our Booth to Chat with Robust HPC

We’re happy to welcome one of our Asia Pacific partners to our booth. If you’re from APAC, come talk to us!

Visit Robust HPC

Build Impossible Infrastructure With Ease

Easy to deploy
Easy to integrate with existing tools

Easy to increase performance
Easy to reduce costs

GigaIO SuperNODE: The World’s First 32 GPU Single-node Supercomputer

The GigaIO SuperNODE can connect up to 32 AMD Instinct™ MI210 GPUs or 24 NVIDIA A100s to a single node at the same latency and performance as if they were physically located inside the server box. Accelerators are seamlessly connected by GigaIO’s transformative PCIe memory fabric, FabreX, and can scale multiple accelerator technologies such as GPUs and FPGAs without the latency, cost, and power overhead required for multi-CPU systems.

See demo at our booth.

GigaIO_Graphs-for-SuperNODE_Thumbnail
Learn More
See Test Results

FabreX Universal Dynamic Memory Fabric

Let your software define your hardware. GigaIO provides workload-defined infrastructure through its universal dynamic memory fabric, which seamlessly composes rack-scale resources and integrates natively into industry-standard tools. Build impossible servers for HPC + AI workflows — from storage to accelerators to memory — at a fraction of cloud TCO, by optimizing the utilization and efficiency of your existing hardware.

See demo at our booth.

GigaIO FabreX Composable Memory Fabric Platform System Overview
Learn More
Download the System Overview

The GigaIO Family Of Engineered Solutions, Powered By AMD

Make Science Simple. GigaIO has partnered with AMD to release a family of purpose-built Engineered Solutions that use composability to solve industry-specific challenges for Life Sciences, Manufacturing, and Education. Get the right hardware and software for each vertical — easy to install and easy to administer with NVIDIA Bright Cluster Manager pre-installed. 

See demo at our booth.

GigaIO Engineered Solutions, Powered by AMD Documents
Learn More
Read the Press Release

The GigaIO Artemis Product Line

GigaIO’s Artemis products provide the components to build a composable solution. The Artemis memory fabric switch, pooling appliance, and network card — all powered by GigaIO’s universal dynamic memory fabric FabreX — are the building blocks you need to dynamically configure infrastructure according to workload requirements.

See demo at our booth.

GigaIO Artemis Memory Fabric Switch
GigaIO Artemis Accelerator Pooling Appliance
GigaIO Artemis Network Adapter Card
Explore the Artemis Product Line
  • GigaIO Open Partner Ecosystem

    GigaIO relies on its growing network of technology and channel partners to deliver our composable infrastructure solutions with cloud agility and blazing performance. We innovate by ensuring our customers are not restricted to using hardware or software from a single vendor, avoiding vendor lock-in. This is only possible by staying clear of vendor-specific APIs and offering off-the-shelf software for managing composable systems. Both these strategies mean more profit potential for our channel partners, and more freedom of choice for end-users, within a carefully curated open standards ecosystem.

    Become a Partner

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Curious to see how it works? Check out this 15-minute demo on how to liberate your compute resources.

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Niraj Mathur

Niraj has over 20 years of industry experience in strategic and product marketing, product management, business development, customer applications and advanced silicon engineering. He has held senior leadership roles and led global, cross-functional teams to support these disciplines. Niraj was instrumental in driving numerous successful networking products at Nortel Networks, Quake Technologies, AppliedMicro, Snowbush, Gennum, Semtech and Rambus. He has defined, developed and supported carrier grade hardware and software for the world’s leading telecom, enterprise and cloud customers. His past projects include Ethernet PHYs, core Internet switches, metro optical routers, high-speed silicon IPs and PCI Express products. Niraj holds a Bachelor of Computer Engineering from McGill University and an MBA from Cornell University.

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